Predicting diagnosis and cognition with 18 F‐AV‐1451 tau PET and structural MRI in Alzheimer's disease
Year: 2019
Type: article
Study design: Observational Study
Abstract: Introduction The relative importance of structural magnetic resonance imaging (MRI) and tau positron emission tomography (PET) to predict diagnosis and cognition in Alzheimer's disease (AD) is unclear. Methods We tested 56 cognitively unimpaired controls (including 27 preclinical AD), 32 patients with prodromal AD, and 39 patients with AD dementia. Optimal classifiers were constructed using the least absolute shrinkage and selection operator with 18 F‐AV‐1451 (tau) PET and structural MRI data (regional cortical thickness and subcortical volumes). Results 18 F‐AV‐1451 in the amygdala, entorhinal cortex, parahippocampal gyrus, fusiform, and inferior parietal lobule had 93% diagnostic accuracy for AD (prodromal or dementia). The MRI classifier involved partly the same regions plus the hippocampus, with 83% accuracy, but did not improve upon the tau classifier. 18 F‐AV‐1451 retention and MRI were independently associated with cognition. Discussion Optimized tau PET classifiers may diagnose AD with high accuracy, but both tau PET and structural brain MRI capture partly unique information relevant for the clinical deterioration in AD.
Source: Alzheimer s & Dementia
Authors: Niklas Mattsson, Philip S. Insel, Michael Donohue, Jonas Jögi, Rik Ossenkoppele, Tomas Olsson, Michael Schöll, Ruben Smith, Oskar Hansson
Institutions: Lund University, Skåne University Hospital, San Francisco VA Medical Center, University of California, San Francisco, University of Southern California, Amsterdam Neuroscience, Amsterdam UMC Location Vrije Universiteit Amsterdam, Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
Award: G6870540333
OpenAlex ID: W2911001278
